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At the recent 3rd China AIGC Industry Summit, Fenbi AI received two significant awards: "2025 Notable AIGC Enterprise" and "2025 Notable AIGC Product", recognizing its outstanding achievements in vocational education. Hosted by QuantumBit, the summit, themed "Everything is AI," attracted numerous experts and professionals from the technology and education sectors. Fenbi's CTO, Jianhua Chen, delivered a keynote speech titled "Reshaping and Practicing Intelligent Education: The Landing Path of Large Models".

Recent reports suggest XPeng is internally developing a new technology called "Crowdsourced Mapping," aiming to enhance the accuracy of its autonomous driving system's navigation. This technology, in its preliminary research phase after several months of development, could potentially supplement XPeng's Level 3 autonomous driving solution. The core of crowdsourced mapping lies in the collaborative effort of multiple vehicles to collect road data in real-time, dynamically generating and updating maps. This approach offers the advantage of covering areas inaccessible to sensors, providing the intelligent driving system with more comprehensive data.

Higgsfield, an innovative AI video generation company, recently unveiled Higgsfield Mix, a groundbreaking technology that completely overturns the physical limitations of traditional cameras. According to AIbase, this technology allows users to combine multiple motion controls in a single shot, creating dynamic effects impossible with real cameras. Higgsfield also introduced 10 new motion control modes specifically designed to enhance speed, tension, and cinematic impact, empowering film creation and numerous other applications.

As an established non-profit, OpenAI is committed to building the world's best-equipped non-profit organization, aiming to enhance human creativity through historic financial resources and powerful technology. Imagine a model where a charity's investment capacity grows as the value of its affiliated companies increases. In OpenAI's vision, philanthropy is not merely the flow of money, but a fundamental form of support. Leveraging technology developed by leading AI companies, non-profit organizations will be able to...

Recently, the field of artificial intelligence has been abuzz with discussion surrounding OpenAI's GPT-4o image generation model. Its exceptional performance has propelled it to the forefront in industry benchmark evaluations. According to recent social media discussions, GPT-4o's ELO score for image generation quality places it in first place alongside emerging model Reve, surpassing strong competitors such as Recraft V3, FLUX1.1[pro], and Google's Gemini2.0Flash. This achievement solidifies OpenAI's position in the generative AI field.

OpenAI's recently launched image generation feature for ChatGPT has garnered significant attention and usage. However, this popularity has presented challenges. OpenAI founder Sam Altman revealed that the surge in demand has nearly overwhelmed the company's GPU capacity, stating that the GPUs are "smoking." This has led to rate limits being implemented on the image generation feature.

Shanghai MITAN Network Technology Co., Ltd. announced a breakthrough in its AI technology, launching a feature that rapidly transforms text content into interactive, visual webpages. This innovation aims to help users present and share information more efficiently, lowering the barrier to information dissemination and making knowledge sharing more convenient and intuitive.

AI21 Labs has announced the release of Jamba 1.6, a significant upgrade to its large language model that enhances its capabilities in handling long-form text and expands its support to multiple languages.

Recently, Manus AI partner Zhang Tao released a statement on the platform, sharing the team's unexpected adventure over the past 17 hours. Zhang Tao stated that the team initially only hoped to share their interim achievements in exploring the agent product form, so server resources were prepared according to the industry standard for releasing a demo. They did not anticipate such an overwhelming response.

Nvidia today announced that its premier global AI conference, GTC 2025, will be held in San Jose, California from March 17th to 21st. The event is expected to draw 25,000 in-person attendees and 300,000 online viewers, showcasing the latest breakthroughs in AI and accelerated computing. A highly anticipated keynote address from Nvidia CEO Jensen Huang will highlight the conference.

A recent report by The Decoder on OpenAI's latest model, GPT-4.5, has sparked industry debate regarding its cost-effectiveness. While official data shows performance improvements over GPT-4, the cost has significantly increased. Specifically, GPT-4.5 outperforms GPT-4 in various aspects, including a 63.2% improvement in professional queries, a 57% improvement in everyday queries, and...

On February 28, the Ministry of Industry and Information Technology (MIIT) issued the "Management and Technical Guidelines for the Access, Recall, and Online Software Upgrade of Intelligent Connected Vehicle Products," clearly requiring that intelligent connected vehicle systems should have strategies to prohibit the activation of corresponding functions when the driver does not use the combined driving assistance functions in a standard manner. This new regulation aims to further improve the safety and controllability of intelligent driving assistance systems. According to the guidelines, intelligent connected vehicle systems need to have clear activation, execution, and exit strategies. For driving assistance functions, when the system detects that the driver is detached from the dynamic driving task, fails to respond to warnings, and...

Researchers from the Tübingen University's ELLIS Unit, the University of Maryland, and Lawrence Livermore National Laboratory have developed Huginn, a novel language model with a recursive architecture that significantly enhances reasoning capabilities. Unlike traditional models, Huginn doesn't require specialized 'reasoning chain' training; it can autonomously reason within the neural network's 'latent space' before outputting results. The research team developed Huginn, a novel language model with a recursive architecture that significantly enhances reasoning abilities. Unlike...